AI-driven code generation tools like GitHub Copilot are already enhancing developer productivity by suggesting code snippets and completing functions.
As AI becomes more prominent in coding tasks, human developers will likely focus on higher-level design, system integration, and ensuring interoperability between AI-generated components.
There is a concern about the 'AI Ouroboros' problem, where AI models trained on data generated by AI may lead to challenges in code quality and innovation.
Researchers and developers are actively working on strategies to address challenges posed by AI-generated code and ensure its positive evolution in the coding ecosystem.